Facial Expression Recognition (FER) can be widely applied to various research areas, such
as mental diseases diagnosis and human social/physiological interaction detection. With the …

Distance learning has spread nowadays on a large scale across the world, which has led to
many challenges in education such as invigilation and learning coordination. These …

Due to the complexity of human emotions, there are some similarities between different
emotion features. The existing emotion recognition method has the problems of difficulty of …

We present an automatic technique for image alignment using a principal component
analysis (PCA) that broadly consists of two steps. The first step is the segmentation of the …

For the problems of complex model structure and too many training parameters in facial
expression recognition algorithms, we proposed a residual network structure with a multi …

The relationships among different subregions in facial images and their varying
contributions to facial expression recognition indicate that using a fixed subregion weighting …

For a long time, expressions have been something that human beings are proud of. That is
an essential difference between us and machines. With the development of computers, we …

Aiming at the problem of facial expression recognition under unconstrained conditions, a
facial expression recognition method based on an improved capsule network model is …

Facial expression recognition is an important research issue in the pattern recognition field.
In this paper, we intend to present an accurate facial expression recognition (FER) system …

Experiencing a wide range of applications, machine learning is one of the computer science
fields with the quickest growth. It speaks about the automatic identification of significant …